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Image Search Results
Journal: PLOS ONE
Article Title: Canopeo app as image-based phenotyping tool in controlled environment utilizing Arabidopsis mutants
doi: 10.1371/journal.pone.0300667
Figure Lengend Snippet: (A) Biomass accumulation of fkf1-t was consistently higher at the 6-week developmental stage compared to Col-0. (B) Biomass accumulation of fkf1-t remained consistently higher across 8-, 10-, and 12-week developmental stages compared to Col-0. Relative biomass of FKF1-OE was statistically lower than Col-0 at the 8-week developmental stage. By week 12, overall lower relative biomass measurements indicate all plants are in senescence, but the statistically significant grouping of fkf1-t suggests that this genotype experiences senescence at a slower rate. Statistically significant difference between Col-0 and any other Arabidopsis line is labeled with * (p < 0.05). (C) Detecting biomass accumulation with Canopeo across six developmental stages provides insights on rate of vegetative biomass partitioning and rate of senescence across the plant life cycle. Statistical analyses were performed using SAS GLIMMIX. Means with same letter within same week are not significantly different. Statistically significant difference between Col-0 and any other Arabidopsis line is labeled with * (p<0.05).
Article Snippet: Statistical analyses of Canopeo data using
Techniques: Labeling
Journal: PLoS ONE
Article Title: Bioreactor for mobilization of mesenchymal stem/stromal cells into scaffolds under mechanical stimulation: Preliminary results
doi: 10.1371/journal.pone.0227553
Figure Lengend Snippet: The bioreactor (1) connected to a power supply (3) is placed inside a CO 2 incubator to allow conditions for cell cultivation. The connection wires from the bioreactor are plugged over an electronic box (4) that contains a motion controller, an amplifier of the force sensor and the interpolator for the digital gauge. The motion controller receives the information from the stepper motor, and the signals of the force sensor generated by the loading are processed by the amplifier. The electronic box (4) is plugged to the connector block (5), which communicates with the PC card in the computer (6). The PC card synchronizes the beginning of the experiment with the motion controller software “EasyMotion” (7), where the settings are established for the experiments. Data as force, displacement of the piston and time are visualized and registered at a rate of 50 Hz by the custom-made software “Bioreactor”, programmed in LabView 2011. Finally, the data can be exported (9) and analyzed by statistical software such as Origin 9.0G, which was used in this study.
Article Snippet: Mechanical parameters of the experiments as the displacement were set by the custom-made software EasyMotion Studio (TECHNOSOFT SA, Neuchâtel, Switzerland), which handled the stepper motor through a
Techniques: Generated, Blocking Assay, Software
Journal: MethodsX
Article Title: The comparison of Canopeo and samplepoint for measurement of green canopy cover for forage crops in India
doi: 10.1016/j.mex.2022.101916
Figure Lengend Snippet: Software settings and plant characteristics at the time of image recording and processing.
Article Snippet: Regression analysis was performed on the percent canopy cover (green) data obtained from
Techniques: Software
Journal: MethodsX
Article Title: The comparison of Canopeo and samplepoint for measurement of green canopy cover for forage crops in India
doi: 10.1016/j.mex.2022.101916
Figure Lengend Snippet: Assessments of different canopy cover measurements and their accuracy level. Relationships between (A) visual assessment and Canopeo measurement, (B) visual assessment and SamplePoint measurement, and (C) Canopeo and SamplePoint measurements are presented. Data from all the crops were pooled for the analysis.
Article Snippet: Regression analysis was performed on the percent canopy cover (green) data obtained from
Techniques:
Journal: MethodsX
Article Title: The comparison of Canopeo and samplepoint for measurement of green canopy cover for forage crops in India
doi: 10.1016/j.mex.2022.101916
Figure Lengend Snippet: Correlation among visual assessment, Canopeo and SamplePoint values for different crops.
Article Snippet: Regression analysis was performed on the percent canopy cover (green) data obtained from
Techniques:
Journal: MethodsX
Article Title: The comparison of Canopeo and samplepoint for measurement of green canopy cover for forage crops in India
doi: 10.1016/j.mex.2022.101916
Figure Lengend Snippet: Vegetation covers estimated using Canopeo in the plots growing maize (A, B), sorghum (C, D), cowpea (E, F), oats (G, H), berseem (I, J), and bare soil (K, L) in a field study conducted at Jhansi, India. Photographs on the right (B, D, F, H, J, L) are depicting the Canopeo-converted photographs of the original photos (A, C, E, G, I, K, respectively) and white pixels are representing the green colour of the vegetation.
Article Snippet: Regression analysis was performed on the percent canopy cover (green) data obtained from
Techniques:
Journal: MethodsX
Article Title: The comparison of Canopeo and samplepoint for measurement of green canopy cover for forage crops in India
doi: 10.1016/j.mex.2022.101916
Figure Lengend Snippet:
Article Snippet: Regression analysis was performed on the percent canopy cover (green) data obtained from
Techniques: